1 citations · 1 across the 4 of their papers we have counts for
4 papers
Accelerating Decentralized Optimization via Overlapping Local Steps
Yijie Zhou, Shi Pu
Decentralized optimization has emerged as a critical paradigm for distributed learning, enabling scalable training while preserving data privacy through peer-to-peer collaboration.…
Asynchronous Decentralized SGD under Non-Convexity: A Block-Coordinate Descent Framework
Yijie Zhou, Shi Pu
Decentralized optimization has become vital for leveraging distributed data without central control, enhancing scalability and privacy. However, practical deployments face fundamen…
Private and Accurate Decentralized Optimization via Encrypted and Structured Functional Perturbation
Yijie Zhou, Shi Pu
We propose a decentralized optimization algorithm that preserves the privacy of agents' cost functions without sacrificing accuracy, termed EFPSN. The algorithm adopts Paillier cry…
Human-in-the-Loop Robot Planning with Non-Contextual Bandit Feedback
Yijie Zhou, Yan Zhang, Xusheng Luo +1
In this paper, we consider a robot navigation problem in environments populated by humans. The goal is to determine collision-free and dynamically feasible trajectories that also m…